Daisuke Kondo
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
-
- Ion Transport and Channel Regulation 6
- Peroxisome Proliferator-Activated Receptors 4
- Nephrology 15
- Renal Diseases and Glomerulopathies 12
- Co-authors
- Koichiro Kano (5 shared papers)Eishin Yaoita (4 shared papers)Yu Koyama (4 shared papers)Haruko Funaki (4 shared papers)Katsutoshi Kawasaki (4 shared papers)Itaru Kihara (4 shared papers)Ken Yagi (1 shared paper)Yasushi Okazaki (1 shared paper)
- Journals
- Kidney International (5 papers)Nephrology (2 papers)World Neurosurgery (2 papers)American Journal of Physiology-Cell Physiology (2 papers)BMC Anesthesiology (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Daisuke Kondo
61 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 125
- Nephrology 179
- Genetics 261
- Physiology 300
- Molecular Biology 675
- Surgery 328
Countries citing papers authored by Daisuke Kondo
This map shows the geographic impact of Daisuke Kondo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daisuke Kondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Kondo more than expected).
Fields of papers citing papers by Daisuke Kondo
This network shows the impact of papers produced by Daisuke Kondo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daisuke Kondo. The network helps show where Daisuke Kondo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Kondo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 306 | |
| 2 | 1999 | 160 | |
| 3 | 1997 | 149 | |
| 4 | 2004 | 142 | |
| 5 | 1998 | 138 | |
| 6 | 2001 | 41 | |
| 7 | 2005 | 41 | |
| 8 | 2012 | 35 | |
| 9 | 2015 | 34 | |
| 10 | 2003 | 29 | |
| 11 | 2005 | 28 | |
| 12 | 2009 | 25 | |
| 13 | 2019 | 24 | |
| 14 | 2003 | 23 | |
| 15 | 2006 | 22 | |
| 16 | 2009 | 22 | |
| 17 | 2001 | 21 | |
| 18 | 2000 | 18 | |
| 19 | 2007 | 17 | |
| 20 | 2018 | 17 |
About Daisuke Kondo
Daisuke Kondo is a scholar working on Molecular Biology, Nephrology, Physiology, Neurology and Cardiology and Cardiovascular Medicine, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (12 papers), Adipose Tissue and Metabolism (6 papers), Ion Transport and Channel Regulation (6 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Regulation of Appetite and Obesity (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Complement system in diseases (4 papers). The work is most often cited by research in Nephrology (179 citations), Genetics (261 citations), Physiology (300 citations), Molecular Biology (675 citations) and Surgery (328 citations). Daisuke Kondo has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Koichiro Kano, Eishin Yaoita, Yu Koyama, Haruko Funaki, Katsutoshi Kawasaki, Itaru Kihara, Ken Yagi, Yasushi Okazaki, Katsuyoshi Hatakeyama and Tadashi Yamamoto. Their work appears in journals such as Kidney International, Nephrology, World Neurosurgery, American Journal of Physiology-Cell Physiology and BMC Anesthesiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.